Put the ipynb file and html file in the github branch you created in the last assignment and submit the link to the commit in brightspace
from plotly.offline import init_notebook_mode
import plotly.io as pio
import plotly.express as px
init_notebook_mode(connected=True)
pio.renderers.default = "plotly_mimetype+notebook"
#load data
df = px.data.gapminder()
df.head()
Recreate the barplot below that shows the population of different continents for the year 2007.
Hints:
df = df[df['year'] == 2007]
fig = px.histogram(df,
x = 'pop',
y = 'continent',
color = 'continent',
category_orders={"continent": ["Africa", "Americas", "Asia", "Europe", "Oceania"]},
)
fig.update_layout(xaxis_title = 'pop', showlegend = False)
fig.show()
fig = px.histogram(df,
x = 'pop',
y = 'continent',
color = 'continent',
category_orders={"continent": ["Asia", "Americas", "Africa", "Europe", "Oceania"]},
)
fig.update_layout(xaxis_title = 'pop', showlegend = False)
fig.show()
Add text to each bar that represents the population
fig = px.histogram(df,
x = 'pop',
y = 'continent',
color = 'continent',
category_orders={"continent": ["Asia", "Africa", "Americas", "Europe", "Oceania"]},
text_auto = '.2s'
)
fig.update_traces(textposition = 'outside')
fig.update_layout(xaxis_title = 'pop', showlegend = False)
fig.show()
Thus far we looked at data from one year (2007). Lets create an animation to see the population growth of the continents through the years
df = px.data.gapminder()
fig = px.histogram(df, x="pop",
y="continent",
animation_frame="year",
animation_group="continent",
color="continent",
range_x=[0,4000000000],
).update_yaxes(categoryorder="total ascending")
fig.update_layout(xaxis_title = 'pop', showlegend = False)
fig.show()
Instead of the continents, lets look at individual countries. Create an animation that shows the population growth of the countries through the years
df = px.data.gapminder()
fig = px.histogram(df, x="pop",
y="country",
animation_frame="year",
animation_group="country",
#size="pop",
color="country",
hover_name="country",
range_x=[0,4000000000],
).update_yaxes(categoryorder="total ascending")
fig.update_layout(xaxis_title = 'pop', showlegend = False)
fig.show()
Clean up the country animation. Set the height size of the figure to 1000 to have a better view of the animation
df = px.data.gapminder()
fig = px.histogram(df, x="pop",
y="country",
animation_frame="year",
animation_group="country",
#size="pop",
color="country",
hover_name="country",
range_x=[0,4000000000],
).update_yaxes(categoryorder="total ascending")
fig.update_layout(xaxis_title = 'pop', showlegend = False, autosize = False, width=500, height=1000)
fig.show()
df = px.data.gapminder()
fig = px.histogram(df, x="pop",
y="country",
animation_frame="year",
animation_group="country",
#size="pop",
color="country",
hover_name="country",
range_x=[0,2000000000],
range_y = [132, 142]
).update_yaxes(categoryorder="total ascending")
fig.update_layout(xaxis_title = 'pop', showlegend = False)
fig.show()